Interesting Graph - Decrease in 6to4?
We have been measuring the number of clients connecting to www.ripe.net over IPv6 and made some interesting observations.
Based in Amsterdam, NL
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I'm a system architect/research coordinator at the RIPE NCC, where I work in the science group. I'm a chemist by training, but have been working since 1998 on Internet related things, as a sysadmin, security consultant, web developer and researcher. I am interested in technology changes (like IPv6 deployment), Internet measurement, data analysis, data visualisation, sustainability and security. I'd like to bring research and operations closer together, ie. do research that is operationally relevant. When I'm not working I like to make music (electric guitar, bass and drums), do sports (swimming, (inline) skating, bouldering, soccer), and try to be a good parent.
Please find below the third part of our technical services update. This time we're focusing on our research activities and a number of tools we are developing.
This post provides an update on our IPv6 RIPEness project, including an analysis of IPv6 RIPEness for new Local Internet Registries (LIRs).
Last month we covered the 2015 leap second ahead of the insertion of a leap second at the very end of 2016. As stated previously, leap seconds can trigger poorly-tested code paths; leap second handling always unearths bugs and issues. This one was no exception!
In this article, we give one example of the possible communities that are now easier to build around RIPE Atlas probes. With the tagging of similar probes, existing communities can use additional tools for creating and analysing RIPE Atlas measurements, such as "IXP Country Jedi", to create their o…
We look into why dynamic addresses change and find ISPs that renumber periodically, most commonly every 24 hours or a multiple of 24 hours. We also find that outages influence address changes.
This article is intended to make RIPE Atlas users aware of ethical issues that could arise when using RIPE Atlas. We do not intend to propose any new formal processes or procedures to address the relevant ethical issues, but we do want to encourage members of the RIPE Atlas community to consider th…
We used a number of RIPE NCC tools and data sets to take a quick look at the recent DDoS attack on Dyn’s infrastructure. We wanted to see if this could be found in the data produced by the RIPE Atlas community.
The issue of the relative sizes of the IPv4 and IPv6 Internet in BGP came up during discussion at the APNIC/APRICOT meeting held in Auckland, New Zealand earlier this year.
Detecting network disruptions is a recurring problem. Clearly locating performance degradation is an important step in debugging and subsequently fixing connectivity issues.
The IXP country jedi tool described in earlier RIPE Labs articles, can also be used to analyse the situation in a specific city. This time we look at Berlin.
Code for looking into AS Adjacency changes is available here: https://github.com/emileaben/as-neighbour-diff
Code on how to create graphs like Figure 1 ( ie. BGP view of how networks in a country interconnect ) is available here: https://github.com/InternetHealthReport/country-as-hegemony-viz
NOG Alliance is helping out network operators in Ukraine: https://nogalliance.org/our-task-forces/keep-ukraine-connected/
An effort related to keeping Urkanian servers/websites online by the Dutch Cloud Community: https://dutchcloudcommunity.nl/community/cloud4ukraine/
We got a request for the HHI scores for other countries. I've put these in a small repo on github together with the code that generated this. repo: https://github.com/emileaben/hhi-eyeballs HHI scores for 2022-03-07 are available here: https://raw.githubusercontent.com/emileaben/hhi-eyeballs/main/eyeball-hhi.2022-03-07.csv
“This is awesome work, thank you! Do you maybe have the script/notebooks/sources to reproduce this? This could be potential used for other countries.”
Hi Jenneth, The observable notebook we used for this is here: https://observablehq.com/@aguformoso/internet-outages-as-seen-by-ripe-atlas . It's a little rough around the edges, so it would be great if you could help improve it!
Thanks for your comment Maxime. I would love to see more analysis too, and the tool allows people to do this. Take for instance this thread on Twitter where Jason Livingood analyses the signals for the US: https://twitter.com/jlivingood/status/1245142990336688130 If others have analysis for specific countries they want to share it would be great to have them collected, for instance as comments to this RIPE Labs post!
“One may assume that, if some people delayed the changes, other people rushed in to adapt the networks to the increased load? Both behaviour may explain why the change rate is more or less the same?”
I think it would be interesting to dig into this data deeper indeed. I looked at splitting this out per country a bit, but could try figure out if there are trends in the sets of ASNs in this timeseries. Would you be willing to look at this? My colleague Vesna is doing a virtual hackathon around Internet and Corona ( https://labs.ripe.net/Members/becha/hackathons-in-the-time-of-corona ), I'd love it if we could collaborate around this. Let me or Vesna know, or hop on to the conf calls, Mon 2pm UTC ( 3pm Paris timezone :) )
“Ghost routes: https://www.sixxs.net/tools/grh/what/”
I've added a reference to the different names 'stuck routes' and 'ghost routes' for this phenomenon at the beginning of the post. Thanks for the pointer!
“Interested in repeating this analysis for 2018 world cup?”
Hi Dan, we have no plans of repeating this analysis this time. This type of signal is still there, see for instance https://twitter.com/search?q=%40ohohlfeld%20%23worldcup&src=typd for a couple of graphs that show the impact in various places.
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